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        <h1 id="前言"><a href="#前言" class="headerlink" title="前言"></a>前言</h1><p>opencv中有关图像操作的部分</p>
<span id="more"></span>

<h1 id="一、LUT函数"><a href="#一、LUT函数" class="headerlink" title="一、LUT函数"></a>一、LUT函数</h1><p>函数功能：用来和多个阈值比较时，使用到的查找表，LUT是一个像素灰度值的映射表</p>
<p>函数原型：</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">void LUT(InputArray src, InputArray lut, OutputArray dst)</span><br></pre></td></tr></table></figure>

<p>src：输入图像矩阵，数据类型只能是CV_8U</p>
<p>lut：256个像素灰度值的查找表，单通道或者与src通道数相同</p>
<p>dst：输出图像矩阵，尺寸与src相同，数据类型与int相同</p>
<p>lut表的映射关系为：</p>
<table>
<thead>
<tr>
<th>原灰度值</th>
<th>0</th>
<th>1</th>
<th>2</th>
<th>3</th>
<th>······</th>
<th>100</th>
<th>101</th>
<th>102</th>
<th>······</th>
<th>253</th>
<th>254</th>
<th>255</th>
</tr>
</thead>
<tbody><tr>
<td>映射后</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td></td>
<td>1</td>
<td>1</td>
<td>1</td>
<td></td>
<td>2</td>
<td>2</td>
<td>2</td>
</tr>
</tbody></table>
<p>LUT()中的第二个参数是一个1*256的矩阵。另外LUT（）函数支持多通道的映射，第二个参数lut如果是多通道，则输入变量中的第i个通道按照第二个参数的第 i 个通道LUT进行映射。</p>
<p>示例程序：</p>
<figure class="highlight c"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br><span class="line">40</span><br><span class="line">41</span><br><span class="line">42</span><br><span class="line">43</span><br><span class="line">44</span><br><span class="line">45</span><br><span class="line">46</span><br><span class="line">47</span><br><span class="line">48</span><br><span class="line">49</span><br><span class="line">50</span><br><span class="line">51</span><br><span class="line">52</span><br><span class="line">53</span><br><span class="line">54</span><br><span class="line">55</span><br><span class="line">56</span><br><span class="line">57</span><br><span class="line">58</span><br><span class="line">59</span><br><span class="line">60</span><br><span class="line">61</span><br><span class="line">62</span><br><span class="line">63</span><br><span class="line">64</span><br><span class="line">65</span><br><span class="line">66</span><br><span class="line">67</span><br><span class="line">68</span><br><span class="line">69</span><br><span class="line">70</span><br><span class="line">71</span><br><span class="line">72</span><br><span class="line">73</span><br><span class="line">74</span><br><span class="line">75</span><br><span class="line">76</span><br><span class="line">77</span><br><span class="line">78</span><br><span class="line">79</span><br><span class="line">80</span><br><span class="line">81</span><br><span class="line">82</span><br><span class="line">83</span><br><span class="line">84</span><br><span class="line">85</span><br><span class="line">86</span><br><span class="line">87</span><br><span class="line">88</span><br><span class="line">89</span><br><span class="line">90</span><br><span class="line">91</span><br><span class="line">92</span><br><span class="line">93</span><br><span class="line">94</span><br><span class="line">95</span><br></pre></td><td class="code"><pre><span class="line"><span class="meta">#<span class="meta-keyword">include</span><span class="meta-string">&lt;opencv2\opencv.hpp&gt;</span>  <span class="comment">//加载OpenCV4的头文件</span></span></span><br><span class="line"><span class="meta">#<span class="meta-keyword">include</span><span class="meta-string">&lt;iostream&gt;</span></span></span><br><span class="line"><span class="meta">#<span class="meta-keyword">include</span><span class="meta-string">&lt;vector&gt;</span></span></span><br><span class="line"><span class="keyword">using</span> <span class="keyword">namespace</span> <span class="built_in">std</span>;</span><br><span class="line"><span class="keyword">using</span> <span class="keyword">namespace</span> cv; <span class="comment">//OpenCV命名空间</span></span><br><span class="line"></span><br><span class="line"><span class="function"><span class="keyword">int</span> <span class="title">main</span><span class="params">()</span></span></span><br><span class="line"><span class="function"></span>&#123;</span><br><span class="line">	<span class="comment">//LUT第一层</span></span><br><span class="line">	uchar lutFirst[<span class="number">256</span>];</span><br><span class="line">	<span class="keyword">for</span> (<span class="keyword">int</span> i = <span class="number">0</span>; i &lt; <span class="number">256</span>; i++)</span><br><span class="line">	&#123;</span><br><span class="line">		<span class="keyword">if</span> (i &lt;= <span class="number">100</span>)</span><br><span class="line">		&#123;</span><br><span class="line">			lutFirst[i] = <span class="number">0</span>;</span><br><span class="line">		&#125;</span><br><span class="line">		<span class="keyword">else</span> <span class="keyword">if</span> (i &gt; <span class="number">100</span> &amp;&amp; i &lt;= <span class="number">200</span>)</span><br><span class="line">		&#123;</span><br><span class="line">			lutFirst[i] = <span class="number">100</span>;</span><br><span class="line">		&#125;</span><br><span class="line">		<span class="keyword">else</span>  <span class="comment">//i&gt;200</span></span><br><span class="line">		&#123;</span><br><span class="line">			lutFirst[i] = <span class="number">255</span>;</span><br><span class="line">		&#125;</span><br><span class="line">	&#125;</span><br><span class="line">	<span class="function">Mat <span class="title">lutOne</span><span class="params">(<span class="number">1</span>, <span class="number">256</span>, CV_8UC1, lutFirst)</span></span>;</span><br><span class="line"></span><br><span class="line">	<span class="comment">//LUT第二层</span></span><br><span class="line">	uchar lutSecond[<span class="number">256</span>];</span><br><span class="line">	<span class="keyword">for</span> (<span class="keyword">int</span> i = <span class="number">0</span>; i &lt; <span class="number">256</span>; i++)</span><br><span class="line">	&#123;</span><br><span class="line">		<span class="keyword">if</span> (i &lt;= <span class="number">100</span>)</span><br><span class="line">		&#123;</span><br><span class="line">			lutSecond[i] = <span class="number">0</span>;</span><br><span class="line">		&#125;</span><br><span class="line">		<span class="keyword">else</span> <span class="keyword">if</span> (i &gt; <span class="number">100</span> &amp;&amp; i &lt;= <span class="number">150</span>)</span><br><span class="line">		&#123;</span><br><span class="line">			lutSecond[i] = <span class="number">100</span>;</span><br><span class="line">		&#125;</span><br><span class="line">		<span class="keyword">else</span> <span class="keyword">if</span> (i &gt; <span class="number">150</span> &amp;&amp; i &lt;= <span class="number">200</span>)</span><br><span class="line">		&#123;</span><br><span class="line">			lutSecond[i] = <span class="number">150</span>;</span><br><span class="line">		&#125;</span><br><span class="line">		<span class="keyword">else</span>  <span class="comment">//i&gt;200</span></span><br><span class="line">		&#123;</span><br><span class="line">			lutSecond[i] = <span class="number">255</span>;</span><br><span class="line">		&#125;</span><br><span class="line">	&#125;</span><br><span class="line">	<span class="function">Mat <span class="title">lutTwo</span><span class="params">(<span class="number">1</span>, <span class="number">256</span>, CV_8UC1, lutSecond)</span></span>;</span><br><span class="line"></span><br><span class="line">	<span class="comment">//LUT第三层</span></span><br><span class="line">	uchar lutThird[<span class="number">256</span>];</span><br><span class="line">	<span class="keyword">for</span> (<span class="keyword">int</span> i = <span class="number">0</span>; i &lt; <span class="number">256</span>; i++)</span><br><span class="line">	&#123;</span><br><span class="line">		<span class="keyword">if</span> (i &lt;= <span class="number">100</span>)</span><br><span class="line">		&#123;</span><br><span class="line">			lutThird[i] = <span class="number">100</span>;</span><br><span class="line">		&#125;</span><br><span class="line">		<span class="keyword">else</span> <span class="keyword">if</span> (i &gt; <span class="number">100</span> &amp;&amp; i &lt;= <span class="number">200</span>)</span><br><span class="line">		&#123;</span><br><span class="line">			lutThird[i] = <span class="number">200</span>;</span><br><span class="line">		&#125;</span><br><span class="line">		<span class="keyword">else</span></span><br><span class="line">		&#123;</span><br><span class="line">			lutThird[i] = <span class="number">255</span>;</span><br><span class="line">		&#125;</span><br><span class="line">	&#125;</span><br><span class="line">	<span class="function">Mat <span class="title">lutThree</span><span class="params">(<span class="number">1</span>, <span class="number">256</span>, CV_8UC1, lutThird)</span></span>;</span><br><span class="line"></span><br><span class="line">	<span class="comment">//拥有三通道的LUT矩阵</span></span><br><span class="line">	<span class="built_in">vector</span>&lt;Mat&gt; mergeMats;</span><br><span class="line">	mergeMats.push_back(lutOne);</span><br><span class="line">	mergeMats.push_back(lutTwo);</span><br><span class="line">	mergeMats.push_back(lutThree);</span><br><span class="line">	Mat LutTree;</span><br><span class="line">	merge(mergeMats, LutTree);</span><br><span class="line"></span><br><span class="line">	<span class="comment">//计算图像的查找表</span></span><br><span class="line">	Mat img = imread(<span class="string">&quot;lena.jpg&quot;</span>);</span><br><span class="line">	<span class="keyword">if</span> (img.empty())</span><br><span class="line">	&#123;</span><br><span class="line">		<span class="built_in">cout</span> &lt;&lt; <span class="string">&quot;请确认图像文件名称是否正确&quot;</span> &lt;&lt; <span class="built_in">endl</span>;</span><br><span class="line">		<span class="keyword">return</span> <span class="number">-1</span>;</span><br><span class="line">	&#125;</span><br><span class="line">	Mat gray, out0, out1, out2;</span><br><span class="line">	cvtColor(img, gray, COLOR_RGB2GRAY);</span><br><span class="line">	LUT(gray, lutOne, out0);</span><br><span class="line">	LUT(img, lutTwo, out1);</span><br><span class="line">	LUT(img, lutThree, out2);</span><br><span class="line">	imshow(<span class="string">&quot;out0&quot;</span>, out0);</span><br><span class="line">	imshow(<span class="string">&quot;out1&quot;</span>, out1);</span><br><span class="line">	imshow(<span class="string">&quot;out2&quot;</span>, out2);</span><br><span class="line">	waitKey(<span class="number">0</span>);</span><br><span class="line">	<span class="keyword">return</span> <span class="number">0</span>;  <span class="comment">//程序结束</span></span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>

<p>out0：</p>
<img src="https://img-blog.csdnimg.cn/587c5323f0e3466b888248d7f3ab614b.png?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3NpbmF0XzIwMTc3MzI3/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" width="40%">

<p>out1：</p>
<img src="https://img-blog.csdnimg.cn/988fdf388c0444869979f6ddc5f27800.png?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3NpbmF0XzIwMTc3MzI3/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" width="40%">

<p>out2：</p>
<img src="https://img-blog.csdnimg.cn/e8af7b7d2a2b4beeb7c649ad2697ae69.png?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3NpbmF0XzIwMTc3MzI3/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" width="40%">

<h1 id="二、图像连接"><a href="#二、图像连接" class="headerlink" title="二、图像连接"></a>二、图像连接</h1><h4 id="图像上下连接函数vconcat（）"><a href="#图像上下连接函数vconcat（）" class="headerlink" title="图像上下连接函数vconcat（）"></a>图像上下连接函数vconcat（）</h4><p>函数原型1：</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">void vconcat(const Mat * src, size_t nsrc, OutputArray dst)</span><br></pre></td></tr></table></figure>

<p>src：Mat矩阵类型的数组</p>
<p>nsrc：数组中Mat类型数据的数目</p>
<p>dst：连接后的Mat类矩阵</p>
<p>该函数用于对存放在数组矩阵中的Mat类型数据进行纵向连接。第一个参数是存放多个Mat类型数据的数组，要求数组中的所有Mat类型具有相同的<strong>长度</strong>并且具有相同的数据类型和通道数。</p>
<p>函数原型2：</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">void vconcat(InputArray src1, InputArray src2, OutputArray dst)</span><br></pre></td></tr></table></figure>

<p>src1：第一个需要连接的Mat类矩阵</p>
<p>src2：第二个需要连接的Mat类矩阵，与第一个参数具有相同的宽度、数据类型和通道数</p>
<p>dst：连接后的Mat类矩阵</p>
<p>该函数用于对两个Mat类型数据进行连接，第一个参数在上方，第二个参数在下方</p>
<h4 id="图像上下连接函数hconcat（）"><a href="#图像上下连接函数hconcat（）" class="headerlink" title="图像上下连接函数hconcat（）"></a>图像上下连接函数hconcat（）</h4><p>函数原型1：</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">void hconcat(const Mat * src, size_t nsrc, OutputArray dst)</span><br></pre></td></tr></table></figure>

<p>src：Mat矩阵类型的数组</p>
<p>nsrc：数组中Mat类型数据的数目</p>
<p>dst：连接后的Mat类矩阵</p>
<p>要求所有要连接的图像矩阵具有相同的<strong>高度</strong></p>
<p>函数原型2：</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">void hconcat(InputArray src1, InputArray src2, OutputArray dst)</span><br></pre></td></tr></table></figure>

<p>src1：第一个需要连接的Mat类矩阵</p>
<p>src2：第二个需要连接的Mat类矩阵，与第一个参数具有相同的高度、数据类型和通道数</p>
<p>dst：连接后的Mat类矩阵</p>
<p>示例代码：</p>
<figure class="highlight c"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br><span class="line">40</span><br><span class="line">41</span><br><span class="line">42</span><br><span class="line">43</span><br><span class="line">44</span><br><span class="line">45</span><br><span class="line">46</span><br><span class="line">47</span><br><span class="line">48</span><br><span class="line">49</span><br><span class="line">50</span><br><span class="line">51</span><br><span class="line">52</span><br><span class="line">53</span><br><span class="line">54</span><br><span class="line">55</span><br><span class="line">56</span><br></pre></td><td class="code"><pre><span class="line"><span class="meta">#<span class="meta-keyword">include</span><span class="meta-string">&lt;opencv2\opencv.hpp&gt;</span>  <span class="comment">//加载OpenCV4的头文件</span></span></span><br><span class="line"><span class="meta">#<span class="meta-keyword">include</span><span class="meta-string">&lt;iostream&gt;</span></span></span><br><span class="line"><span class="meta">#<span class="meta-keyword">include</span><span class="meta-string">&lt;vector&gt;</span></span></span><br><span class="line"><span class="keyword">using</span> <span class="keyword">namespace</span> <span class="built_in">std</span>;</span><br><span class="line"><span class="keyword">using</span> <span class="keyword">namespace</span> cv; <span class="comment">//OpenCV命名空间</span></span><br><span class="line"></span><br><span class="line"><span class="function"><span class="keyword">int</span> <span class="title">main</span><span class="params">()</span></span></span><br><span class="line"><span class="function"></span>&#123;</span><br><span class="line">	<span class="comment">//矩阵数组的横竖连接</span></span><br><span class="line">	Mat matArray[] = &#123; Mat(<span class="number">1</span>,<span class="number">2</span>,CV_32FC1,Scalar(<span class="number">1</span>)),Mat(<span class="number">1</span>,<span class="number">2</span>,CV_32FC1,Scalar(<span class="number">2</span>)) &#125;;</span><br><span class="line">	Mat vout, hout;</span><br><span class="line">	vconcat(matArray, <span class="number">2</span>, vout);</span><br><span class="line">	<span class="built_in">cout</span> &lt;&lt; <span class="string">&quot;图像数组竖向连接：&quot;</span> &lt;&lt; <span class="built_in">endl</span> &lt;&lt; vout &lt;&lt; <span class="built_in">endl</span>;</span><br><span class="line">	hconcat(matArray, <span class="number">2</span>, vout);</span><br><span class="line">	<span class="built_in">cout</span> &lt;&lt; <span class="string">&quot;图像数组横向连接：&quot;</span> &lt;&lt; <span class="built_in">endl</span> &lt;&lt; hout &lt;&lt; <span class="built_in">endl</span>;</span><br><span class="line"></span><br><span class="line">	<span class="comment">//矩阵的横竖拼接</span></span><br><span class="line">	Mat A = (Mat_&lt;<span class="keyword">float</span>&gt;(<span class="number">2</span>, <span class="number">2</span>) &lt;&lt; <span class="number">1</span>, <span class="number">7</span>, <span class="number">2</span>, <span class="number">8</span>);</span><br><span class="line">	Mat B = (Mat_&lt;<span class="keyword">float</span>&gt;(<span class="number">2</span>, <span class="number">2</span>) &lt;&lt; <span class="number">4</span>, <span class="number">10</span>, <span class="number">5</span>, <span class="number">11</span>);</span><br><span class="line">	Mat vC, hC;</span><br><span class="line">	vconcat(A, B, vC);</span><br><span class="line">	<span class="built_in">cout</span> &lt;&lt; <span class="string">&quot;多个图像竖向连接：&quot;</span> &lt;&lt; <span class="built_in">endl</span> &lt;&lt; vC &lt;&lt; <span class="built_in">endl</span>;</span><br><span class="line">	hconcat(A, B, hC);</span><br><span class="line">	<span class="built_in">cout</span> &lt;&lt; <span class="string">&quot;多个图像横向连接：&quot;</span> &lt;&lt; <span class="built_in">endl</span> &lt;&lt; hC &lt;&lt; <span class="built_in">endl</span>;</span><br><span class="line">	</span><br><span class="line">	<span class="comment">//读取4个子图像，00表示左上角，01表示右上角，10表示左下角，11表示右下角</span></span><br><span class="line">	Mat img00 = imread(<span class="string">&quot;lena00.png&quot;</span>);</span><br><span class="line">	Mat img01 = imread(<span class="string">&quot;lena01.png&quot;</span>);</span><br><span class="line">	Mat img10 = imread(<span class="string">&quot;lena10.png&quot;</span>);</span><br><span class="line">	Mat img11 = imread(<span class="string">&quot;lena11.png&quot;</span>);</span><br><span class="line">	<span class="keyword">if</span> (img00.empty() || img01.empty() || img10.empty() || img11.empty())</span><br><span class="line">	&#123;</span><br><span class="line">		<span class="built_in">cout</span> &lt;&lt; <span class="string">&quot;请确认图像文件名称是否正确&quot;</span> &lt;&lt; <span class="built_in">endl</span>;</span><br><span class="line">		<span class="keyword">return</span> <span class="number">-1</span>;</span><br><span class="line">	&#125;</span><br><span class="line">	<span class="comment">//显示4个子图像</span></span><br><span class="line">	imshow(<span class="string">&quot;img00&quot;</span>, img00);</span><br><span class="line">	imshow(<span class="string">&quot;img01&quot;</span>, img01);</span><br><span class="line">	imshow(<span class="string">&quot;img10&quot;</span>, img10);</span><br><span class="line">	imshow(<span class="string">&quot;img11&quot;</span>, img11);</span><br><span class="line"></span><br><span class="line">	<span class="comment">//图像连接</span></span><br><span class="line">	Mat img, img0, img1;</span><br><span class="line">	<span class="comment">//图像横向连接</span></span><br><span class="line">	hconcat(img00, img01, img0);</span><br><span class="line">	hconcat(img10, img11, img1);</span><br><span class="line">	<span class="comment">//横向连接结果再进行竖向连接</span></span><br><span class="line">	vconcat(img0, img1, img);</span><br><span class="line"></span><br><span class="line">	<span class="comment">//显示连接图像的结果</span></span><br><span class="line">	imshow(<span class="string">&quot;img0&quot;</span>, img0);</span><br><span class="line">	imshow(<span class="string">&quot;img1&quot;</span>, img1);</span><br><span class="line">	imshow(<span class="string">&quot;img&quot;</span>, img);</span><br><span class="line">	waitKey(<span class="number">0</span>);</span><br><span class="line">	<span class="keyword">return</span> <span class="number">0</span>;  <span class="comment">//程序结束</span></span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>

<p>四个部分的img：</p>
<img src="https://img-blog.csdnimg.cn/fcd21e4b0f6f4abcbbdae4e9e6e860c6.png?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3NpbmF0XzIwMTc3MzI3/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" width="40%">

<p>img0：</p>
<img src="https://img-blog.csdnimg.cn/f154eb5272294a3f9e55a3aaf316e426.png?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3NpbmF0XzIwMTc3MzI3/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" width="40%">

<p>img1：</p>
<img src="https://img-blog.csdnimg.cn/dd96c6d3e5a34488ab1517ac7b0a45d4.png?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3NpbmF0XzIwMTc3MzI3/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" width="40%">

<p>最终拼接而成的img：</p>
<img src="https://img-blog.csdnimg.cn/8d74b48dff894433a45eca424b3aacb5.png?watermark/2/text/aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3NpbmF0XzIwMTc3MzI3/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70" width="40%">



<p>另外包含此程序中用到的四张图片：</p>
<p>lean00.png:</p>
<p><img src="https://img-blog.csdnimg.cn/2d55841cce6f4a3dbf2a08595a4e159e.png" alt="在这里插入图片描述"></p>
<p>lena01.png:</p>
<p><img src="https://img-blog.csdnimg.cn/cac2f3bd595442b68d1e119e5622c655.png" alt="在这里插入图片描述"></p>
<p>lena10.png:</p>
<p><img src="https://img-blog.csdnimg.cn/f5a1da7f8e524fe8bb63ca0d7585e172.png" alt="在这里插入图片描述"></p>
<p>lena11.png:</p>
<p><img src="https://img-blog.csdnimg.cn/e10a99b240a44f648f2045e344c34cf9.png" alt="在这里插入图片描述"></p>
<p>感谢阅读！</p>
<p>也欢迎大家关注小白博主，多多鼓励一下！ </p>

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